print 'NILAI C, b, n MIN', sol['c'].min(),',', sol['b'].min(),',', sol['n'].min()
else:
print 'NILAI C MAX', sol['c'].max()
print 'NILAI C MIN', sol['c'].min()
#print sol['tip_cell']
if set['con'] == True:
#SAVING PICTURES
if set['k'] % 10 == 0:
if set['layout'] == '2D':
pic.pic_2d_con(coef,set,sol)
else:
#SAVING PICTURES
if set['k'] % 1 == 0:
if set['layout'] == '2D':
pic.pic_2d(coef,set,sol) #3
if set['layout'] == '3D':
pic_3d(coef,set,sol)
'''Recording Time'''
ttime = time.clock()
if ttime >= 3600: #jam
jam = int(ttime/3600)
sisa = ttime - jam*3600
if sisa == 0:
print 'total time of processing:', jam, 'hours', 0, 'minutes', 0, 'seconds'
elif sisa > 60:
menit = int(sisa/60)
detik = sisa - menit*60
if detik == 0:
else:
print 'NILAI C MAX', sol['c'].max()
print 'NILAI C MIN', sol['c'].min()
#print sol['tip_cell']
if set['con'] == True:
'''SAVING PICTURES'''
if set['k'] % 500 == 0:
if set['layout'] == '2D':
pic_2d_con(coef,set,sol)
else:
'''SAVING PICTURES'''
if set['k'] % 50 == 0:
if set['layout'] == '2D':
pic_2d(coef,set,sol)
if set['layout'] == '3D':
pic_3d(coef,set,sol)
'''Recording Time'''
ttime = time.clock()
if ttime >= 3600: #jam
jam = int(ttime/3600)
sisa = ttime - jam*3600
if sisa == 0:
print 'total time of processing:', jam, 'hours', 0, 'minutes', 0, 'seconds'
elif sisa > 60:
menit = int(sisa/60)
detik = sisa - menit*60
if detik == 0:
print 'total time of processing:', jam, 'hours', menit, 'minutes', 0, 'seconds'
else:
print 'NILAI C MAX', sol['c'].max()
print 'NILAI C MIN', sol['c'].min()
#print sol['tip_cell']
if set['con'] == True:
#SAVING PICTURES
if set['k'] % 500 == 0:
if set['layout'] == '2D':
pic_2d_con(coef,set,sol)
else:
#SAVING PICTURES
if set['k'] % 50 == 0:
if set['layout'] == '2D':
pic_2d(coef,set,sol) #3
if set['layout'] == '3D':
pic_3d(coef,set,sol)
'''Recording Time'''
ttime = time.clock()
if ttime >= 3600: #jam
jam = int(ttime/3600)
sisa = ttime - jam*3600
if sisa == 0:
print 'total time of processing:', jam, 'hours', 0, 'minutes', 0, 'seconds'
elif sisa > 60:
menit = int(sisa/60)
detik = sisa - menit*60
if detik == 0:
from coef_setting import declare_coef #Ref.1
from initial_conditions import initial_prof #Ref.2
import main_code as main #Ref.4
import picture_2d as pic #Ref.5
'''Import additional functions to support calculation and graphics'''
import numpy
from timeit import default_timer as timer
import time
import matplotlib.pyplot as plt
plt.ion() #to plot interactively
'''declare coefficients & initial settings'''
coef, set, sol = declare_coef() #Ref.1
'''Initialize functions for k=0 (first iteration), t=0 (initial time)'''
sol = initial_prof(coef, set, sol) #Ref.2
pic.pic_2d(coef, set,
sol) #to generate the picture of initial condition #Ref.5
print '''All Coefficients:'''
print coef
print '''All Set'''
print set
'''PRINTING RESULT AS CONTROL'''
print 'at Time', set['t']
print 'Total Tips:', len(sol['matrix_tip'])
print 'Total Stop Tips:', len(sol['sp_stop'])
print 'Tip Stop:', sol['sp_stop']
print 'Tip Cell Pos:', sol['tip_cell']
print 'Max Value of c, f', sol['c'].max(), ',', sol['f'].max()
print 'Min Value of c, f', sol['c'].min(), ',', sol['f'].min()
'''Main part of the Hybrid calculation'''
while set['t'] <= set['T']:
'''Adaptive time step start here''' #Ref.3
